Geriatrics

Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.

BACKGROUND: In the era of computer-assisted diagnostic tools for various brain diseases, Alzheimer's disease (AD) covers a large percentage of neuroimaging research, with the main scope being its use in daily practice. However, there has been no study attempting to simultaneously discriminate among Healthy Controls (HC), early mild cognitive impairment (MCI), late MCI (cMCI) and stable AD, using f...

Highly sensitive electrochemical biosensor for streptavidin detection based on CdSe quantum dots.

An electrochemical biosensor was developed based on a steric hindrance hybridization assay to allow the highly sensitive detection of streptavidin. In the steric hindrance hybridization assay, the signaling strand DNA (sig-DNA) was labeled at the 3' end with CdSe quantum dots (QDs) and at the 5' end with biotin, and capturing strand DNA (the complementary strand of sig-DNA) was labeled at the 5' e...

Efficient deep learning model for mitosis detection using breast histopathology images.

Mitosis detection is one of the critical factors of cancer prognosis, carrying significant diagnostic information required for breast cancer grading. ...

Augmented reality for personalized nanomedicines.

As our understanding of onset and progress of diseases at the genetic and molecular level rapidly progresses, the potential of advanced technologies, ...

Metabolism of Dopamine in Nucleus Accumbens Astrocytes Is Preserved in Aged Mice Exposed to MPTP.

Parkinson disease (PD) is prevalent in elderly individuals and is characterized by selective degeneration of igrotriatal opmine (NSDA) neurons. Intere...

What are the preferred characteristics of a service robot for the elderly? A multi-country focus group study with older adults and caregivers.

This multi-perspective study focuses on how a service robot for the elderly should behave when interacting with potential users. An existing service r...

Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.

BACKGROUND: Alzheimer's disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide. M...

[Emotional robots in a nursing context : Empirical analysis of the present use and the effects of Paro and Pleo].

BACKGROUND: It has been questioned by researchers in robotics as well in the general public to what extent companion-type robots can support the elder...

"I Treat Him as a Normal Patient": Unveiling the Normalization Coping Strategy Among Formal Caregivers of Persons With Dementia and Its Implications for Person-Centered Care.

INTRODUCTION: Currently, 47 million people have dementia, worldwide, often requiring paid care by formal caregivers. Research regarding family caregiv...

Acceptance and perceived usefulness of robots to assist with activities of daily living and healthcare tasks.

As the number of older adults living with chronic conditions continues to rise, they will require assistance with activities of daily living (ADL) and...

User-Oriented Evaluation of a Robotic Rollator That Provides Navigation Assistance in Frail Older Adults with and without Cognitive Impairment.

BACKGROUND: Navigational skills decline with age, and this decline is even more pronounced in cognitively impaired (CI) older adults. Navigation assis...

Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot.

Mobile robotics is a potential solution to home behavior monitoring for the elderly. For a mobile robot in the real world, there are several types of ...

Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning.

Computerized healthcare has undergone rapid development thanks to the advances in medical imaging and machine learning technologies. Especially, recen...

Medication discrepancies in late-stage chronic kidney disease.

BACKGROUND: Late-stage chronic kidney disease (LS-CKD) can be defined by glomerular filtration rate (GFR) 0-30 mL/min. It is a period of risk for medi...

Looking for Alzheimer's Disease morphometric signatures using machine learning techniques.

BACKGROUND: We present our results in the International challenge for automated prediction of MCI from MRI data. We evaluate the performance of MRI-ba...

Anti-aging factor, serum alpha-Klotho, as a marker of acute physiological stress, and a predictor of ICU mortality, in patients with septic shock.

PURPOSE: Genetic deletions decreasing serum alpha-Klotho (alpha-KL) have been associated with rapid aging, multi-organ failure and increased mortality...

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Machine learning methods have been applied to many data sets in pharmaceutical research for several decades. The relative ease and availability of fin...

Perception and Respiratory Responses of the Upper Airway Mechanism to Added Resistance With Aging.

OBJECTIVES: To assess breathing behaviors and perception of added respiratory loads in young compared to old individuals, and to determine whether agi...

Artificial neural networks to predict future bone mineral density and bone loss rate in Japanese postmenopausal women.

OBJECTIVE: Predictions of the future bone mineral density and bone loss rate are important to tailor medicine for women with osteoporosis, because of ...

Working Memory and Decision-Making in a Frontoparietal Circuit Model.

Working memory (WM) and decision-making (DM) are fundamental cognitive functions involving a distributed interacting network of brain areas, with the ...